You have a local DNS server (e.g. your UniFi router) and want all your devices to use it, even though some don't care which server your router specifies in DHCP replies (e.g. IoT devices)? You can use DNAT to redirect all requests ment for external DNS servers to your local (or favourite remote) DNS server.

I guess you know what port forwarding is: you have a single public IP address shared by 10s of devices. In order for devices on the internet (e.g. your friends) to be able to access a device on your local network (e.g. your Jellyfin server) you need to tell your router to forward incoming traffic for a port to a local IP

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Immich (photos) + Jellyfin (movies/TV) + Tailscale (access from anywhere). Commands only, in the order they're run in the video.

Tested August 2026 on:

更新日期 2026/07/13

本文彙整了「淨零碳規劃管理師-初級能力鑑定」113-115 年度的 782 題考古題，內容僅供參考，考試命題不一定會相同，請考生留意。

• 使用方法：Ctrl + F 直接輸入題目關鍵字搜尋即可

The project keeps a running Lisp world alive while an outside controller asks an OpenAI model what to try next.

                         "What should we try?"
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